Business Commons^™

Jargon To Jackpot: The Financial Impact Of Infusing Pop Culture References In Social Media, Madelynn Solow

Business and Economics Honors Papers

This research explores the impact of incorporating pop culture references in a company's Twitter feed on the company's stock price. Pop culture is integral to people's everyday lives, providing a sense of familiarity and fun between individuals. Many companies have started leveraging pop culture references on social media platforms like Twitter to establish a relatable and engaging connection with diverse consumer demographics. The primary purpose of this research is to investigate whether this strategy is beneficial within the stock market. It is hypothesized that incorporating pop culture references on Twitter can lead to increased sales and higher stock prices, as …

Exploring Social Media Sentiment Analysis In Relation To Common Stock, Landon Johnson

Finance Undergraduate Honors Theses

Many institutions, investors, and researchers have sought to gain insights into consumer attitudes and behaviors by leveraging social media. However, trading strategies utilizing social sentiment have been observed to often provide returns roughly equivalent to or less than those of standard market indexes. This observation raises several questions: does the efficacy of social sentiment analysis vary from firm to firm? Are price or volume directly correlated with social sentiment? Does social sentiment display any predictive ability? The following analysis attempted to answer these questions by comparing one week’s worth of data from Twitter users to price and volume data from …

Ceo’S Tweets And Firm Stock Returns: A Case Study Of Elon Musk And Tesla, Jauron Gunther Dam

Honors College Theses

This research study explores the relationship between a CEO’s public statements and a firm’s abnormal stock returns by focusing on the case study of Elon Musk’s tweets and Tesla’s stock price over the course of 2021. A longitudinal dataset is constructed by analyzing how the information contained in tweets affected Tesla’s short-run stock price. The textual data is analyzed based on CEO tweets, the daily frequency of tweets, explicit and implied fundamentals, and sentiment. The content of Elon Musk’s publications may lead TSLA to have abnormal returns. The tweets are able to capture influences from fundamentals and psychology. When Elon …

The Relationship Between Twitter Mentions & Stock Volatility During Trading Hours, Connor Day

Undergraduate Honors Theses

A new paradigm in investing has been created where people have easier access than ever to invest in the stock market from the convenience of their phones. Through zero-commission trading apps, like Robinhood, less starting capital is required. This research is used to investigate the relationship between the frequency of social media mentions on Twitter and a particular stock’s volatility. This will be done using the qualitative data analyzing tool AtlasTi to calculate the frequency in which a particular stock ticker is mentioned on Twitter during trading hours. The volatility of the stock will be calculated using data from Yahoo! …

Do Students Buy Attention-Grabbing Stocks? A Field Experiment, George Psaradakis

Business and Economics Honors Papers

In this paper, we look to find out whether or not student investors are drawn to “attention-grabbing” stocks. We define “attention-grabbing” stocks as those that are issued by companies with either large numbers of Twitter followers, large general marketing budgets, or both. Our theory is that the more followers that a publicly traded company has on Twitter and/or the more money the company spends on marketing and advertising, the more likely a student would be to invest in its stock.

A field experiment was conducted in which undergraduate students constructed their own virtual stock portfolios. A treatment group was given …

Collaborative Speculation And Overvaluation: Evidence From Social Media, Adam Barrett Booker

Graduate Theses and Dissertations

I use data from StockTwits and Twitter to provide evidence that investor attention on social media in the period before earnings is related to short-term overvaluation, consistent with bullish investors herding around common information. In the 2 to 60 days after earnings, returns for companies in the highest quintile of pre-earnings announcement investor attention are 4.2 percent lower than those of companies in the lowest quintile. I find evidence that the negative post-earnings drift result found in this study is related to investors waiting until after earnings are announced to enact costly arbitrage strategies. I further examine intra- and inter-network …